Description
Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso, and subset selection also
Learn how to solve real-life problems using the Linear Regression technique
Preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression
Predict future outcomes basis past data by implementing the Simplest Machine Learning algorithm
Understand how to interpret the result of the Linear Regression model and translate them into actionable insight
Understanding of basics of statistics and concepts of Machine Learning
In-depth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem
Learn advanced variations of OLS method of Linear Regression
The course contains an end-to-end DIY project to implement your learnings from the lectures
How to convert the business problem into a Machine learning Linear Regression problem
Basic statistics using Numpy library in Python
Data representation using Seaborn library in Python
Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python